Association between anxious distress in a major depressive episode and bipolarity

Characteristics of attentional bias in adolescents with major depressive disorders: differentiating the impact of anxious distress specifier

Background

No consistent conclusion has been reached regarding the attentional bias characteristics of adolescents with major depressive disorders (MDD), and unexamined co-occurring anxiety distress may contribute to this inconsistency.

Methods

We enrolled 50 MDD adolescents with anxiety distress, 47 MDD adolescents without anxiety distress and 48 healthy adolescents. We measured attentional bias using a point-probe paradigm during a negative-neutral emotional face task. Reaction time, correct response rate and attentional bias value were measured.

Results

MDD adolescents did not show a negative attentional bias; MDD adolescents with anxiety distress exhibited longer reaction time for negative and neutral stimuli, lower correct response rate for negative stimuli. Hamilton Anxiety Scale scores were positively correlated with reaction time, negatively correlated with correct response rate, and not significantly correlated with attentional bias value.

Limitations

The cross-sectional design hinders causal attribution, and positive emotional faces were not included in our paradigm.

Conclusion

Negative attentional bias is not a stable cognitive trait in adolescents with MDD, and avoidance or difficulty in disengaging attention from negative emotional stimuli may be the attentional bias characteristic of MDD adolescents with anxiety distress.

Anxious distress in people with major depressive episodes: a cross-sectional analysis of clinical correlates

OBJECTIVE

Most people with major depressive episodes meet the criteria for the anxious distress (AD) specifier defined by DSM-5 as the presence of symptoms such as feelings of tension, restlessness, difficulty concentrating, and fear that something awful may happen. This cross-sectional study was aimed at identifying clinical correlates of AD in people with unipolar or bipolar depression.

METHODS

Inpatients with a current major depressive episode were included. Data on socio-demographic and clinical variables were collected. The SCID-5 was used to diagnose depressive episodes and relevant specifiers. The Montgomery-Åsberg Depression Rating Scale (MADRS) and Young Mania Rating Scale (YMRS) were used to assess the severity of depressive and manic (mixed) symptoms, respectively. Multiple logistic regression analyses were carried out to identify clinical correlates of AD.

RESULTS

We included 206 people (mean age: 48.4 ± 18.6 yrs.; males: 38.8%) admitted for a major depressive episode (155 with major depressive disorder and 51 with bipolar disorder). Around two-thirds of the sample (N = 137; 66.5%) had AD. Multiple logistic regression models showed that AD was associated with mixed features, higher YMRS scores, psychotic features, and a diagnosis of major depressive disorder (p < 0.05).

CONCLUSION

Despite some limitations, including the cross-sectional design and the inpatient setting, our study shows that AD is likely to be associated with mixed and psychotic features, as well as with unipolar depression. The identification of these clinical domains may help clinicians to better contextualize AD in the context of major depressive episodes.

Disease progression to bipolar disorder among adolescents and young adults with antidepressant-resistant and antidepressant-responsive depression: Does antidepressant class matter?

Studies have demonstrated a positive relationship between antidepressant resistance and the progression of bipolar disorder. However, the influence of antidepressant classes such as selective serotonin reuptake inhibitors (SSRIs) and serotonin norepinephrine reuptake inhibitors (SNRIs) in this context has yet to be investigated. A total of 5,285 adolescents and young adults with antidepressant-resistant depression and 21,140 with antidepressant-responsive depression were recruited in the present study. The antidepressant-resistant depression group was divided into two subgroups: only resistant to SSRIs (n = 2,242, 42.4%) and additionally resistant to non-SSRIs (n = 3,043, 57.6%) groups. The status of bipolar disorder progression was monitored from the date of depression diagnosis to the end of 2011. Patients with antidepressant-resistant depression were more likely to develop bipolar disorder during the follow-up (hazard ratio [HR]: 2.88, 95% confidence interval [CI]: 2.67-3.09) than those with antidepressant-responsive depression. Furthermore, the group that was additionally resistant to non-SSRIs were at the highest risk of bipolar disorder (HR: 3.02, 95% CI: 2.76-3.29), followed by the group that was only resistant to SSRIs (2.70, 2.44-2.98). Adolescents and young adults with antidepressant-resistant depression, especially those who responded poorly to both SSRIs and SNRIs, were at increased risk of subsequent bipolar disorder compared with those with antidepressant-responsive depression. Further studies are warranted to elucidate the molecular pathomechanisms underlying the resistance to SSRIs and SNRIs and subsequent bipolar disorder.

Bipolar disorder in the International Classification of Diseases-Eleventh version: A review of the changes, their basis, and usefulness

The World Health Organization’s 11^th revision of the International Classification of Diseases (ICD-11) including the chapter on mental disorders has come into effect this year. This review focuses on the “Bipolar or Related Disorders” section of the ICD-11 draft. It describes the benchmarks for the new version, particularly the foremost principle of clinical utility. The alterations made to the diagnosis of bipolar disorder (BD) are evaluated on their scientific basis and clinical utility. The change in the diagnostic requirements for manic and hypomanic episodes has been much debated. Whether the current criteria have achieved an optimum balance between sensitivity and specificity is still not clear. The ICD-11 definition of depressive episodes is substantially different, but the lack of empirical support for the changes has meant that the reliability and utility of bipolar depression are relatively low. Unlike the Diagnostic and Statistical Manual of Mental Disorders, 5^th edition (DSM-5), the ICD-11 has retained the category of mixed episodes. Although the concept of mixed episodes in the ICD-11 is not perfect, it appears to be more inclusive than the DSM-5 approach. Additionally, there are some uncertainties about the guidelines for the subtypes of BD and cyclothymic disorder. The initial results on the reliability and clinical utility of BD are promising, but the newly created diagnostic categories also appear to have some limitations. Although further improvement and research are needed, the focus should now be on facing the challenges of implementation, dissemination, and education and training in the use of these guidelines.

The clinical characterization of the adult patient with bipolar disorder aimed at personalization of management

Bipolar disorder is heterogeneous in phenomenology, illness trajectory, and response to treatment. Despite evidence for the efficacy of multimodal-ity interventions, the majority of persons affected by this disorder do not achieve and sustain full syndromal recovery. It is eagerly anticipated that combining datasets across various information sources (e.g., hierarchical "multi-omic" measures, electronic health records), analyzed using advanced computational methods (e.g., machine learning), will inform future diagnosis and treatment selection. In the interim, identifying clinically meaningful subgroups of persons with the disorder having differential response to specific treatments at point-of-care is an empirical priority. This paper endeavours to synthesize salient domains in the clinical characterization of the adult patient with bipolar disorder, with the overarching aim to improve health outcomes by informing patient management and treatment considerations. Extant data indicate that characterizing select domains in bipolar disorder provides actionable information and guides shared decision making. For example, it is robustly established that the presence of mixed features - especially during depressive episodes - and of physical and psychiatric comorbidities informs illness trajectory, response to treatment, and suicide risk. In addition, early environmental exposures (e.g., sexual and physical abuse, emotional neglect) are highly associated with more complicated illness presentations, inviting the need for developmentally-oriented and integrated treatment approaches. There have been significant advances in validating subtypes of bipolar disorder (e.g., bipolar I vs. II disorder), particularly in regard to pharmacological interventions. As with other severe mental disorders, social functioning, interpersonal/family relationships and internalized stigma are domains highly relevant to relapse risk, health outcomes, and quality of life. The elevated standardized mortality ratio for completed suicide and suicidal behaviour in bipolar disorder invites the need for characterization of this domain in all patients. The framework of this paper is to describe all the above salient domains, providing a synthesis of extant literature and recommendations for decision support tools and clinical metrics that can be implemented at point-of-care.

How significant is the assessment of the DSM-5 'anxious distress' specifier in patients with major depressive disorder without comorbid anxiety disorders in the continuation/maintenance phase?

OBJECTIVE

Anxious distress (ANXD), which is common in major depressive disorder (MDD), is associated with poor outcomes. We investigated clinical characteristics of MDD patients with the DSM-5 ANXD specifier and only mild residual symptoms without comorbid anxiety disorders in the continuation/maintenance phase.

METHODS

We recruited 110 outpatients with MDD without comorbid anxiety disorders. They were interviewed; the presence of the DSM-5 ANXD specifier was assessed. They completed the Quick Inventory of Depressive Symptomatology (QIDS), the Eysenck Personality Questionnaire (S-EPQ), the Temperament Evaluation of Memphis, Pisa, Paris and San Diego-Autoquestionnaire (TEMPS-A).

RESULTS

The mean QIDS total score was 9.7 ± 5.5. The DSM-5 ANXD specifier was identified in 73 patients (66.4%). A univariate analysis indicated ANXD was significantly associated with younger age; unmarried status; living alone; higher QIDS total score; higher S-EPQ neuroticism score; and higher TEMPS-A cyclothymic, depressive and irritable scores. After covariate adjustment, a multivariable linear regression analysis revealed a significant association between the QIDS total score and ANXD (three different models).

CONCLUSION

The DSM-5 ANXD was also common among MDD patients without comorbid anxiety disorders in the continuation/maintenance phase; it was significantly associated with greater depression severity and might be related to temperament associated with bipolar disorder.Key pointsDSM-5 anxious distress is common among MDD patients without comorbid anxiety disorders in the continuation/maintenance phase and correlated with some of their socio-demographic and clinical characteristics. • The presence of DSM-5 anxious distress was significantly associated with greater severity of depression and might be related to temperament associated with bipolar disorder.• The evaluation of the DSM-5 anxiety distress was revealed to have some significance not only in the acute phase but also in the continuation/maintenance phase of MDD.